Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mazuki
3
57 kgSaleh
4
70 kgAsadov
6
77 kgRaileanu
8
63 kgEddy Suhaidee
10
63 kgChzhan
11
71 kgJabrayilov
14
52 kgLooij
15
75 kgBanaszek
17
75 kgCahyadi
19
52 kgOkamoto
20
65 kgMohd Zariff
22
63 kgManulang
23
59 kgGoh
28
54 kgBoonratanathanakorn
30
72 kgOvechkin
32
61 kg
3
57 kgSaleh
4
70 kgAsadov
6
77 kgRaileanu
8
63 kgEddy Suhaidee
10
63 kgChzhan
11
71 kgJabrayilov
14
52 kgLooij
15
75 kgBanaszek
17
75 kgCahyadi
19
52 kgOkamoto
20
65 kgMohd Zariff
22
63 kgManulang
23
59 kgGoh
28
54 kgBoonratanathanakorn
30
72 kgOvechkin
32
61 kg
Weight (KG) →
Result →
77
52
3
32
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 4 | SALEH Mohd Harrif | 70 |
| 6 | ASADOV Elchin | 77 |
| 8 | RAILEANU Cristian | 63 |
| 10 | EDDY SUHAIDEE Muhammad Danieal Haikal | 63 |
| 11 | CHZHAN Igor | 71 |
| 14 | JABRAYILOV Samir | 52 |
| 15 | LOOIJ André | 75 |
| 17 | BANASZEK Norbert | 75 |
| 19 | CAHYADI Aiman | 52 |
| 20 | OKAMOTO Hayato | 65 |
| 22 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 23 | MANULANG Robin | 59 |
| 28 | GOH Choon Huat | 54 |
| 30 | BOONRATANATHANAKORN Turakit | 72 |
| 32 | OVECHKIN Artem | 61 |